Papers Speech Interruption Detection
“Speech Interruption Detection” 태그가 달린 논문 7편 · 필터 해제
Conversational Rubert for Detecting Competitive Interruptions in ASR-Transcribed Dialogues
Interruption in a dialogue occurs when the listener begins their speech before the current speaker finishes speaking. Interruptions can be broadly divided into two groups: cooperative (when the listener wants to support …
Speech Interruption DetectionAutomatic Speech Interruption Detection: Analysis, Corpus, and System
Interruption detection is a new yet challenging task in the field of speech processing. This article presents a comprehensive study on automatic speech interruption detection, from the definition of this task, the assemb…
Speech Interruption DetectionAutomatic text-based speech overlap classification: A novel approach using Large Language Models
Meetings are the keystone of a good company. They allow for quick decision making, multiple-perspective problem solving and effective communication. However, most employees and managers have a negative view on the effici…
In-Context LearningSpeech Interruption DetectionReal-time Speech Interruption Analysis: From Cloud to Client Deployment
Meetings are an essential form of communication for all types of organizations, and remote collaboration systems have been much more widely used since the COVID-19 pandemic. One major issue with remote meetings is that i…
Speech Interruption DetectionAutomated mapping of competitive and collaborative overlapping talk in video meetings.
Video meetings are notorious for difficulties with conversational turn-taking, which has impacts on inclusion and outcomes. We present a scalable automatic process to categorize turn-taking patterns in remote meetings ba…
Speech Interruption DetectionAutomatic classification of speech overlaps: Feature representation and algorithms
Overlapping speech is a natural and frequently occurring phenomenon in humanhuman conversations with an underlying purpose. Speech overlap events may be categorized as competitive and non-competitive. While the former …
Speech Interruption DetectionWord EmbeddingsUnsupervised recognition and clustering of speech overlaps in spoken conversations
We are interested in understanding speech overlaps and their function in human conversations. Previous studies on speech overlaps have relied on supervised methods, small corpora and controlled conversations. The charact…
ClusteringSpeech Interruption Detection